The impact of environmental regulation on firms’ water use efficiency: based on the dual heterogeneity perspective of policy and space DOI
Sisi Yin,

Liang-Ying Su,

Xi Sun

и другие.

Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Май 5, 2025

Язык: Английский

Spatial correlation network characteristics and influencing factors of water environmental efficiency in three major urban agglomerations in the Yangtze River Basin, China DOI
Zhigang Li, Keyao Yu, Jialong Zhong

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105311 - 105311

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

15

Sustainable Development Goals (SDGs): The nexus of fintech and water productivity in 11 BRICS countries DOI
Cem Işık, Jie Han, Wei Zhang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 372, С. 123405 - 123405

Опубликована: Ноя. 20, 2024

Язык: Английский

Процитировано

11

Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach DOI
Keyao Yu, Zhigang Li

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113139 - 113139

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1

The correlation between water‑carbon and urban spatial form in built-up areas: Evidence from Shenzhen City, China DOI
Gaoyuan Wang, Muhan Li, Yangli Li

и другие.

Urban Climate, Год журнала: 2025, Номер 59, С. 102292 - 102292

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

1

Exploring the relationship between water–energy consumption and urbanization in China: A urban-rural transformation perspective DOI
Menghang Liu, Chuanglin Fang,

Yu Bai

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 112, С. 107834 - 107834

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

1

Evaluation of Industrial Water Use Efficiency on an Enterprise Scale Based on Analytic Hierarchy Process, Entropy Weight Method and Self-Organizing Map: A Case Study in Zhejiang, China DOI Open Access

Qian Yi-min,

Yingjie Zhao,

Hao Qian

и другие.

Water, Год журнала: 2025, Номер 17(6), С. 901 - 901

Опубликована: Март 20, 2025

The increasingly serious imbalance between the supply and demand of water resources necessitates establishment a scientific reasonable comprehensive evaluation method for industrial use efficiency (WUE). In this study, general WUE on an enterprise scale was proposed by combining analytic hierarchy process (AHP), entropy weight (EWM), self-organizing map (SOM), it tested in several areas Zhejiang Province, China. results show that composite indexes generated using AHP EWM were different employed as input SOM to divide enterprises into four categories. Most classified Class A, with relatively high WUE, accounting 82.5% total, while those D, low only accounted 0.5% total. Furthermore, differences industry classification spatial distribution also analyzed. industries more diverse, especially which plays important role production. Moreover, classifications implied clustering has positive effect improvement WUE. other words, is feasible improve through sub-industry management. summary, comprehensive, detailed conducted scale, can be applied used reference local resource managers formulating targeted policies.

Язык: Английский

Процитировано

1

A Comparative Study of the Driving Factors of Water Resources Use Efficiency in China’s Agricultural and Industrial Sectors DOI Open Access
Jianghong Li, Zhengwei Huang, Lingfang Zhou

и другие.

Water, Год журнала: 2024, Номер 16(3), С. 387 - 387

Опубликована: Янв. 24, 2024

The efficient use of water resources has become an important topic in China. Research on measurement and driving factors is the foundation for improving efficiency (WRUE). In this paper, super-efficiency slacks-based measure (SE-SBM) model used to WRUE China from 2005 2021. agricultural carbon emissions chemical oxygen demand (COD) industrial wastes are taken as undesirable by-products. discussed with Tobit regression model. results show that China’s ranges 1.185 Jilin 0.687 Ningxia. sector, 1.399 Beijing Jiangxi 0.212. economic structure development level, endowment, government influence environmental regulation, planting scale urbanization rate have impacts WRUE. Precautionary measures need be applied prevent inefficient caused by declining share sector structure. More financial support should focused water-saving irrigation agriculture energy resource industry. organizational technological advantages also emphasized efforts improve efficiency.

Язык: Английский

Процитировано

6

Efficiency assessment and scenario simulation of the water-energy-food system in the Yellow river basin, China DOI
Chenjun Zhang, Xiangyang Zhao, Changfeng Shi

и другие.

Energy, Год журнала: 2024, Номер 305, С. 132279 - 132279

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

5

A conceptual method to evaluate the smart water system based on fit-for-purpose concept DOI

Nan Zhang,

Soon‐Thiam Khu,

Jia Wang

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 105, С. 107447 - 107447

Опубликована: Фев. 8, 2024

Язык: Английский

Процитировано

4

Mitigating the disparities in carbon emission efficiency enhancement in China's coal resource-based cities DOI
Biao Liu, Jin Man Wang, Yu Feng

и другие.

Energy, Год журнала: 2024, Номер 307, С. 132599 - 132599

Опубликована: Июль 26, 2024

Язык: Английский

Процитировано

4